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ACADEMIC DEPARTMENT OF INFORMATION AND COMPUTER SYSTEMS DESIGN
HANNA V. SHELEST
Master of Engineering and Technology, Assistant
Minsk, P. Brovki Str., 6, room 412
Phone: +375 17 293-20-88
E-mail: shelest.hanna@gmail.com
Professional interests/researches:
• Information systems and technology design techniques
• Organization of training and research processes at a technical university
Education:
2012 ‒ 2017 ‒ Belarusian State University of Informatics and Radioelectronics
2017 ‒ 2018 ‒ grad school Belarusian State University of Informatics and Radioelectronics
2018 ‒ advanced training at the Republican Institute of Higher Education
Working career:
2017 ‒ present ‒ Assistant of the Department of Design of Information and Computer Systems of the Belarusian State University of Informatics and Radioelectronics
Taught academic subjects:
‒ Systems and databases
‒ Advanced information systems design technologies
‒ Structures and databases
Main publications:
1. Review of time series forecasting methods and models / Hanna V. Shelest, Kristina A. Parkhomenko // Computer Design and Electronic Production Technology: Thesis Collection of 54 Postgraduate, Master and Student Conferences, Minsk, 23-27 April 2018. / the Belarusian State University of Informatics and Radioelectronics. - pp. 112-113
2. Research on Machine Learning Techniques for Managerial Decision-Making / Kristina A. Parkhomenko, Hanna V. Shelest // Computer Design and Electronic Production Technology: Thesis Collection of 54 Postgraduate, Master and Student Conferences, Minsk, 23-27 April 2018. / the Belarusian State University of Informatics and Radioelectronics. - pp. 91-92
3. Stock market forecasting using artificial neural network: abstract of master’s degree in engineering and technology : 1-39 81 01 / Hanna V. Shelest; academic adviser Viktor F. Alexeev - Minsk: BSUIR, 2018. - p.16
4. Assessment of the financial position of corporate borrowers of credit institutions / Hanna V. Shelest // Economics and Information Technology Issues: Materials of the 53rd Scientific Conference of Postgraduate, Master’s and Students (Minsk, 02-06 May 2017.). - Minsk: BSUIR, 2017. - pp.17-19
5. Rating models for forecasting bankruptcy risk: advantages and disadvantages / Victoria S. Kuchlevskaya, Hanna V. Shelest // Economic and Information Technology Issues: Materials of the 51st Scientific Conference of Postgraduate, Master’s and Students. (Minsk, 13-17 April 2015.) - Minsk: BSUIR, 2015. - pp.27-29
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Repository of BSUIR
• Information systems and technology design techniques
• Organization of training and research processes at a technical university
Education:
2012 ‒ 2017 ‒ Belarusian State University of Informatics and Radioelectronics
2017 ‒ 2018 ‒ grad school Belarusian State University of Informatics and Radioelectronics
2018 ‒ advanced training at the Republican Institute of Higher Education
Working career:
2017 ‒ present ‒ Assistant of the Department of Design of Information and Computer Systems of the Belarusian State University of Informatics and Radioelectronics
Taught academic subjects:
‒ Systems and databases
‒ Advanced information systems design technologies
‒ Structures and databases
Main publications:
1. Review of time series forecasting methods and models / Hanna V. Shelest, Kristina A. Parkhomenko // Computer Design and Electronic Production Technology: Thesis Collection of 54 Postgraduate, Master and Student Conferences, Minsk, 23-27 April 2018. / the Belarusian State University of Informatics and Radioelectronics. - pp. 112-113
2. Research on Machine Learning Techniques for Managerial Decision-Making / Kristina A. Parkhomenko, Hanna V. Shelest // Computer Design and Electronic Production Technology: Thesis Collection of 54 Postgraduate, Master and Student Conferences, Minsk, 23-27 April 2018. / the Belarusian State University of Informatics and Radioelectronics. - pp. 91-92
3. Stock market forecasting using artificial neural network: abstract of master’s degree in engineering and technology : 1-39 81 01 / Hanna V. Shelest; academic adviser Viktor F. Alexeev - Minsk: BSUIR, 2018. - p.16
4. Assessment of the financial position of corporate borrowers of credit institutions / Hanna V. Shelest // Economics and Information Technology Issues: Materials of the 53rd Scientific Conference of Postgraduate, Master’s and Students (Minsk, 02-06 May 2017.). - Minsk: BSUIR, 2017. - pp.17-19
5. Rating models for forecasting bankruptcy risk: advantages and disadvantages / Victoria S. Kuchlevskaya, Hanna V. Shelest // Economic and Information Technology Issues: Materials of the 51st Scientific Conference of Postgraduate, Master’s and Students. (Minsk, 13-17 April 2015.) - Minsk: BSUIR, 2015. - pp.27-29
Google Scholar
Repository of BSUIR